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fitglm function  (MathWorks Inc)


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    MathWorks Inc fitglm function
    Fitglm Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fitglme+function+in/pmc12266126-223-22-21
    Average 90 stars, based on 1 article reviews
    fitglm function - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Greater visual working memory capacity for visually-matched stimuli when they are recognized as meaningful
    Article Snippet: In particular, to look at the effect of objective number of faces alone, we examine the effect of the objective number of faces shown after taking into account random effects of participants and items: Correct ~ 1 + ObjectiveFaceNum + (1|Item) + (1|Subject) In a separate model, the effect of both objective and subjective number of faces and their interaction is estimated, again treating both subjects and items as random effects: Correct ~ 1 + ObjectiveFaceNum*SubjectiveFaceNum + (1|Item) + (1|Subject) We fit these models using the fitglme function in MATLAB, with a binomial distribution.

    Article Title: Olfactory detection and discrimination in domestic dogs ( Canis lupus familiaris )
    Article Snippet: We fitted a generalised linear mixed-effects models (fitglme function in Matlab) with binomial error structure and logit link function to our complete dataset ( detection and discrimination task).

    Article Title: The reach of reactivation: Effects of consciously-triggered versus unconsciously-triggered reactivation of associative memory
    Article Snippet: Statistical analyses were conducted using linear mixed-effects models ( fitglme function in Matlab), including a random intercept for participants.

    Article Title: Relative social status alters the synchrony of attribute integration in altruistic decisions
    Article Snippet: Mixed-effect regression analyses were conducted with “fitglme” function in MATLAB (R2018b).

    Article Title: Dissociable representations of decision variables within subdivisions of macaque orbitofrontal and ventrolateral frontal cortex
    Article Snippet: As previously reported, we assessed differences between areas by fitting a generalized linear mixed-effect model ( fitglme function in Matlab) with area as fixed factor as well as monkey and session as random factors (intercept only).

    Blocking Assay:

    Article Title: The goal-relevance of affective stimuli is dynamically represented in affective experience
    Article Snippet: .. In addition, we investigated the effects of normative image affect and block order on RTs using a generalized linear mixed model (GLMM) with fitglme function in Matlab (version R2019b). ..



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